python之基本数据类型
Python运算符及基本数据类型
运算符:
1.算数运算
2. 比较运算
3. 赋值运算
4. 逻辑运算
5. 成员运算
基本数据类型:
1. 数字
int(整型)
在64位系统上,整数的位数为64位,取值范围为-2**63~2**63-1,即-9223372036854775808~9223372036854775807
class int(object):
"""
int(x=0) -> int or long
int(x, base=10) -> int or long Convert a number or string to an integer, or return 0 if no arguments
are given. If x is floating point, the conversion truncates towards zero.
If x is outside the integer range, the function returns a long instead. If x is not a number or if base is given, then x must be a string or
Unicode object representing an integer literal in the given base. The
literal can be preceded by '+' or '-' and be surrounded by whitespace.
The base defaults to 10. Valid bases are 0 and 2-36. Base 0 means to
interpret the base from the string as an integer literal.
>>> int('0b100', base=0)
"""
def bit_length(self):
""" 返回表示该数字的时占用的最少位数 """
"""
int.bit_length() -> int Number of bits necessary to represent self in binary.
>>> bin(37)
'0b100101'
>>> (37).bit_length()
"""
return 0 def conjugate(self, *args, **kwargs): # real signature unknown
""" 返回该复数的共轭复数 """
""" Returns self, the complex conjugate of any int. """
pass def __abs__(self):
""" 返回绝对值 """
""" x.__abs__() <==> abs(x) """
pass def __add__(self, y):
""" x.__add__(y) <==> x+y """
pass def __and__(self, y):
""" x.__and__(y) <==> x&y """
pass def __cmp__(self, y):
""" 比较两个数大小 """
""" x.__cmp__(y) <==> cmp(x,y) """
pass def __coerce__(self, y):
""" 强制生成一个元组 """
""" x.__coerce__(y) <==> coerce(x, y) """
pass def __divmod__(self, y):
""" 相除,得到商和余数组成的元组 """
""" x.__divmod__(y) <==> divmod(x, y) """
pass def __div__(self, y):
""" x.__div__(y) <==> x/y """
pass def __float__(self):
""" 转换为浮点类型 """
""" x.__float__() <==> float(x) """
pass def __floordiv__(self, y):
""" x.__floordiv__(y) <==> x//y """
pass def __format__(self, *args, **kwargs): # real signature unknown
pass def __getattribute__(self, name):
""" x.__getattribute__('name') <==> x.name """
pass def __getnewargs__(self, *args, **kwargs): # real signature unknown
""" 内部调用 __new__方法或创建对象时传入参数使用 """
pass def __hash__(self):
"""如果对象object为哈希表类型,返回对象object的哈希值。哈希值为整数。在字典查找中,哈希值用于快速比较字典的键。两个数值如果相等,则哈希值也相等。"""
""" x.__hash__() <==> hash(x) """
pass def __hex__(self):
""" 返回当前数的 十六进制 表示 """
""" x.__hex__() <==> hex(x) """
pass def __index__(self):
""" 用于切片,数字无意义 """
""" x[y:z] <==> x[y.__index__():z.__index__()] """
pass def __init__(self, x, base=10): # known special case of int.__init__
""" 构造方法,执行 x = 123 或 x = int(10) 时,自动调用,暂时忽略 """
"""
int(x=0) -> int or long
int(x, base=10) -> int or long Convert a number or string to an integer, or return 0 if no arguments
are given. If x is floating point, the conversion truncates towards zero.
If x is outside the integer range, the function returns a long instead. If x is not a number or if base is given, then x must be a string or
Unicode object representing an integer literal in the given base. The
literal can be preceded by '+' or '-' and be surrounded by whitespace.
The base defaults to 10. Valid bases are 0 and 2-36. Base 0 means to
interpret the base from the string as an integer literal.
>>> int('0b100', base=0)
# (copied from class doc)
"""
pass def __int__(self):
""" 转换为整数 """
""" x.__int__() <==> int(x) """
pass def __invert__(self):
""" x.__invert__() <==> ~x """
pass def __long__(self):
""" 转换为长整数 """
""" x.__long__() <==> long(x) """
pass def __lshift__(self, y):
""" x.__lshift__(y) <==> x<<y """
pass def __mod__(self, y):
""" x.__mod__(y) <==> x%y """
pass def __mul__(self, y):
""" x.__mul__(y) <==> x*y """
pass def __neg__(self):
""" x.__neg__() <==> -x """
pass @staticmethod # known case of __new__
def __new__(S, *more):
""" T.__new__(S, ...) -> a new object with type S, a subtype of T """
pass def __nonzero__(self):
""" x.__nonzero__() <==> x != 0 """
pass def __oct__(self):
""" 返回改值的 八进制 表示 """
""" x.__oct__() <==> oct(x) """
pass def __or__(self, y):
""" x.__or__(y) <==> x|y """
pass def __pos__(self):
""" x.__pos__() <==> +x """
pass def __pow__(self, y, z=None):
""" 幂,次方 """
""" x.__pow__(y[, z]) <==> pow(x, y[, z]) """
pass def __radd__(self, y):
""" x.__radd__(y) <==> y+x """
pass def __rand__(self, y):
""" x.__rand__(y) <==> y&x """
pass def __rdivmod__(self, y):
""" x.__rdivmod__(y) <==> divmod(y, x) """
pass def __rdiv__(self, y):
""" x.__rdiv__(y) <==> y/x """
pass def __repr__(self):
"""转化为解释器可读取的形式 """
""" x.__repr__() <==> repr(x) """
pass def __str__(self):
"""转换为人阅读的形式,如果没有适于人阅读的解释形式的话,则返回解释器课阅读的形式"""
""" x.__str__() <==> str(x) """
pass def __rfloordiv__(self, y):
""" x.__rfloordiv__(y) <==> y//x """
pass def __rlshift__(self, y):
""" x.__rlshift__(y) <==> y<<x """
pass def __rmod__(self, y):
""" x.__rmod__(y) <==> y%x """
pass def __rmul__(self, y):
""" x.__rmul__(y) <==> y*x """
pass def __ror__(self, y):
""" x.__ror__(y) <==> y|x """
pass def __rpow__(self, x, z=None):
""" y.__rpow__(x[, z]) <==> pow(x, y[, z]) """
pass def __rrshift__(self, y):
""" x.__rrshift__(y) <==> y>>x """
pass def __rshift__(self, y):
""" x.__rshift__(y) <==> x>>y """
pass def __rsub__(self, y):
""" x.__rsub__(y) <==> y-x """
pass def __rtruediv__(self, y):
""" x.__rtruediv__(y) <==> y/x """
pass def __rxor__(self, y):
""" x.__rxor__(y) <==> y^x """
pass def __sub__(self, y):
""" x.__sub__(y) <==> x-y """
pass def __truediv__(self, y):
""" x.__truediv__(y) <==> x/y """
pass def __trunc__(self, *args, **kwargs):
""" 返回数值被截取为整形的值,在整形中无意义 """
pass def __xor__(self, y):
""" x.__xor__(y) <==> x^y """
pass denominator = property(lambda self: object(), lambda self, v: None, lambda self: None) # default
""" 分母 = 1 """
"""the denominator of a rational number in lowest terms""" imag = property(lambda self: object(), lambda self, v: None, lambda self: None) # default
""" 虚数,无意义 """
"""the imaginary part of a complex number""" numerator = property(lambda self: object(), lambda self, v: None, lambda self: None) # default
""" 分子 = 数字大小 """
"""the numerator of a rational number in lowest terms""" real = property(lambda self: object(), lambda self, v: None, lambda self: None) # default
""" 实属,无意义 """
"""the real part of a complex number""" int
int源码
"hello world"
- 移除空白
- 分割
- 长度
- 索引
- 切片
class str(basestring):
"""
str(object='') -> string Return a nice string representation of the object.
If the argument is a string, the return value is the same object.
"""
def capitalize(self):
""" 首字母变大写 """
"""
S.capitalize() -> string Return a copy of the string S with only its first character
capitalized.
"""
return "" def center(self, width, fillchar=None):
""" 内容居中,width:总长度;fillchar:空白处填充内容,默认无 """
"""
S.center(width[, fillchar]) -> string Return S centered in a string of length width. Padding is
done using the specified fill character (default is a space)
"""
return "" def count(self, sub, start=None, end=None):
""" 子序列个数 """
"""
S.count(sub[, start[, end]]) -> int Return the number of non-overlapping occurrences of substring sub in
string S[start:end]. Optional arguments start and end are interpreted
as in slice notation.
"""
return 0 def decode(self, encoding=None, errors=None):
""" 解码 """
"""
S.decode([encoding[,errors]]) -> object Decodes S using the codec registered for encoding. encoding defaults
to the default encoding. errors may be given to set a different error
handling scheme. Default is 'strict' meaning that encoding errors raise
a UnicodeDecodeError. Other possible values are 'ignore' and 'replace'
as well as any other name registered with codecs.register_error that is
able to handle UnicodeDecodeErrors.
"""
return object() def encode(self, encoding=None, errors=None):
""" 编码,针对unicode """
"""
S.encode([encoding[,errors]]) -> object Encodes S using the codec registered for encoding. encoding defaults
to the default encoding. errors may be given to set a different error
handling scheme. Default is 'strict' meaning that encoding errors raise
a UnicodeEncodeError. Other possible values are 'ignore', 'replace' and
'xmlcharrefreplace' as well as any other name registered with
codecs.register_error that is able to handle UnicodeEncodeErrors.
"""
return object() def endswith(self, suffix, start=None, end=None):
""" 是否以 xxx 结束 """
"""
S.endswith(suffix[, start[, end]]) -> bool Return True if S ends with the specified suffix, False otherwise.
With optional start, test S beginning at that position.
With optional end, stop comparing S at that position.
suffix can also be a tuple of strings to try.
"""
return False def expandtabs(self, tabsize=None):
""" 将tab转换成空格,默认一个tab转换成8个空格 """
"""
S.expandtabs([tabsize]) -> string Return a copy of S where all tab characters are expanded using spaces.
If tabsize is not given, a tab size of 8 characters is assumed.
"""
return "" def find(self, sub, start=None, end=None):
""" 寻找子序列位置,如果没找到,返回 -1 """
"""
S.find(sub [,start [,end]]) -> int Return the lowest index in S where substring sub is found,
such that sub is contained within S[start:end]. Optional
arguments start and end are interpreted as in slice notation. Return -1 on failure.
"""
return 0 def format(*args, **kwargs): # known special case of str.format
""" 字符串格式化,动态参数,将函数式编程时细说 """
"""
S.format(*args, **kwargs) -> string Return a formatted version of S, using substitutions from args and kwargs.
The substitutions are identified by braces ('{' and '}').
"""
pass def index(self, sub, start=None, end=None):
""" 子序列位置,如果没找到,报错 """
S.index(sub [,start [,end]]) -> int Like S.find() but raise ValueError when the substring is not found.
"""
return 0 def isalnum(self):
""" 是否是字母和数字 """
"""
S.isalnum() -> bool Return True if all characters in S are alphanumeric
and there is at least one character in S, False otherwise.
"""
return False def isalpha(self):
""" 是否是字母 """
"""
S.isalpha() -> bool Return True if all characters in S are alphabetic
and there is at least one character in S, False otherwise.
"""
return False def isdigit(self):
""" 是否是数字 """
"""
S.isdigit() -> bool Return True if all characters in S are digits
and there is at least one character in S, False otherwise.
"""
return False def islower(self):
""" 是否小写 """
"""
S.islower() -> bool Return True if all cased characters in S are lowercase and there is
at least one cased character in S, False otherwise.
"""
return False def isspace(self):
"""
S.isspace() -> bool Return True if all characters in S are whitespace
and there is at least one character in S, False otherwise.
"""
return False def istitle(self):
"""
S.istitle() -> bool Return True if S is a titlecased string and there is at least one
character in S, i.e. uppercase characters may only follow uncased
characters and lowercase characters only cased ones. Return False
otherwise.
"""
return False def isupper(self):
"""
S.isupper() -> bool Return True if all cased characters in S are uppercase and there is
at least one cased character in S, False otherwise.
"""
return False def join(self, iterable):
""" 连接 """
"""
S.join(iterable) -> string Return a string which is the concatenation of the strings in the
iterable. The separator between elements is S.
"""
return "" def ljust(self, width, fillchar=None):
""" 内容左对齐,右侧填充 """
"""
S.ljust(width[, fillchar]) -> string Return S left-justified in a string of length width. Padding is
done using the specified fill character (default is a space).
"""
return "" def lower(self):
""" 变小写 """
"""
S.lower() -> string Return a copy of the string S converted to lowercase.
"""
return "" def lstrip(self, chars=None):
""" 移除左侧空白 """
"""
S.lstrip([chars]) -> string or unicode Return a copy of the string S with leading whitespace removed.
If chars is given and not None, remove characters in chars instead.
If chars is unicode, S will be converted to unicode before stripping
"""
return "" def partition(self, sep):
""" 分割,前,中,后三部分 """
"""
S.partition(sep) -> (head, sep, tail) Search for the separator sep in S, and return the part before it,
the separator itself, and the part after it. If the separator is not
found, return S and two empty strings.
"""
pass def replace(self, old, new, count=None):
""" 替换 """
"""
S.replace(old, new[, count]) -> string Return a copy of string S with all occurrences of substring
old replaced by new. If the optional argument count is
given, only the first count occurrences are replaced.
"""
return "" def rfind(self, sub, start=None, end=None):
"""
S.rfind(sub [,start [,end]]) -> int Return the highest index in S where substring sub is found,
such that sub is contained within S[start:end]. Optional
arguments start and end are interpreted as in slice notation. Return -1 on failure.
"""
return 0 def rindex(self, sub, start=None, end=None):
"""
S.rindex(sub [,start [,end]]) -> int Like S.rfind() but raise ValueError when the substring is not found.
"""
return 0 def rjust(self, width, fillchar=None):
"""
S.rjust(width[, fillchar]) -> string Return S right-justified in a string of length width. Padding is
done using the specified fill character (default is a space)
"""
return "" def rpartition(self, sep):
"""
S.rpartition(sep) -> (head, sep, tail) Search for the separator sep in S, starting at the end of S, and return
the part before it, the separator itself, and the part after it. If the
separator is not found, return two empty strings and S.
"""
pass def rsplit(self, sep=None, maxsplit=None):
"""
S.rsplit([sep [,maxsplit]]) -> list of strings Return a list of the words in the string S, using sep as the
delimiter string, starting at the end of the string and working
to the front. If maxsplit is given, at most maxsplit splits are
done. If sep is not specified or is None, any whitespace string
is a separator.
"""
return [] def rstrip(self, chars=None):
"""
S.rstrip([chars]) -> string or unicode Return a copy of the string S with trailing whitespace removed.
If chars is given and not None, remove characters in chars instead.
If chars is unicode, S will be converted to unicode before stripping
"""
return "" def split(self, sep=None, maxsplit=None):
""" 分割, maxsplit最多分割几次 """
"""
S.split([sep [,maxsplit]]) -> list of strings Return a list of the words in the string S, using sep as the
delimiter string. If maxsplit is given, at most maxsplit
splits are done. If sep is not specified or is None, any
whitespace string is a separator and empty strings are removed
from the result.
"""
return [] def splitlines(self, keepends=False):
""" 根据换行分割 """
"""
S.splitlines(keepends=False) -> list of strings Return a list of the lines in S, breaking at line boundaries.
Line breaks are not included in the resulting list unless keepends
is given and true.
"""
return [] def startswith(self, prefix, start=None, end=None):
""" 是否起始 """
"""
S.startswith(prefix[, start[, end]]) -> bool Return True if S starts with the specified prefix, False otherwise.
With optional start, test S beginning at that position.
With optional end, stop comparing S at that position.
prefix can also be a tuple of strings to try.
"""
return False def strip(self, chars=None):
""" 移除两段空白 """
"""
S.strip([chars]) -> string or unicode Return a copy of the string S with leading and trailing
whitespace removed.
If chars is given and not None, remove characters in chars instead.
If chars is unicode, S will be converted to unicode before stripping
"""
return "" def swapcase(self):
""" 大写变小写,小写变大写 """
"""
S.swapcase() -> string Return a copy of the string S with uppercase characters
converted to lowercase and vice versa.
"""
return "" def title(self):
"""
S.title() -> string Return a titlecased version of S, i.e. words start with uppercase
characters, all remaining cased characters have lowercase.
"""
return "" def translate(self, table, deletechars=None):
"""
转换,需要先做一个对应表,最后一个表示删除字符集合
intab = "aeiou"
outtab = ""
trantab = maketrans(intab, outtab)
str = "this is string example....wow!!!"
print str.translate(trantab, 'xm')
""" """
S.translate(table [,deletechars]) -> string Return a copy of the string S, where all characters occurring
in the optional argument deletechars are removed, and the
remaining characters have been mapped through the given
translation table, which must be a string of length 256 or None.
If the table argument is None, no translation is applied and
the operation simply removes the characters in deletechars.
"""
return "" def upper(self):
"""
S.upper() -> string Return a copy of the string S converted to uppercase.
"""
return "" def zfill(self, width):
"""方法返回指定长度的字符串,原字符串右对齐,前面填充0。"""
"""
S.zfill(width) -> string Pad a numeric string S with zeros on the left, to fill a field
of the specified width. The string S is never truncated.
"""
return "" def _formatter_field_name_split(self, *args, **kwargs): # real signature unknown
pass def _formatter_parser(self, *args, **kwargs): # real signature unknown
pass def __add__(self, y):
""" x.__add__(y) <==> x+y """
pass def __contains__(self, y):
""" x.__contains__(y) <==> y in x """
pass def __eq__(self, y):
""" x.__eq__(y) <==> x==y """
pass def __format__(self, format_spec):
"""
S.__format__(format_spec) -> string Return a formatted version of S as described by format_spec.
"""
return "" def __getattribute__(self, name):
""" x.__getattribute__('name') <==> x.name """
pass def __getitem__(self, y):
""" x.__getitem__(y) <==> x[y] """
pass def __getnewargs__(self, *args, **kwargs): # real signature unknown
pass def __getslice__(self, i, j):
"""
x.__getslice__(i, j) <==> x[i:j] Use of negative indices is not supported.
"""
pass def __ge__(self, y):
""" x.__ge__(y) <==> x>=y """
pass def __gt__(self, y):
""" x.__gt__(y) <==> x>y """
pass def __hash__(self):
""" x.__hash__() <==> hash(x) """
pass def __init__(self, string=''): # known special case of str.__init__
"""
str(object='') -> string Return a nice string representation of the object.
If the argument is a string, the return value is the same object.
# (copied from class doc)
"""
pass def __len__(self):
""" x.__len__() <==> len(x) """
pass def __le__(self, y):
""" x.__le__(y) <==> x<=y """
pass def __lt__(self, y):
""" x.__lt__(y) <==> x<y """
pass def __mod__(self, y):
""" x.__mod__(y) <==> x%y """
pass def __mul__(self, n):
""" x.__mul__(n) <==> x*n """
pass @staticmethod # known case of __new__
def __new__(S, *more):
""" T.__new__(S, ...) -> a new object with type S, a subtype of T """
pass def __ne__(self, y):
""" x.__ne__(y) <==> x!=y """
pass def __repr__(self):
""" x.__repr__() <==> repr(x) """
pass def __rmod__(self, y):
""" x.__rmod__(y) <==> y%x """
pass def __rmul__(self, n):
""" x.__rmul__(n) <==> n*x """
pass def __sizeof__(self):
""" S.__sizeof__() -> size of S in memory, in bytes """
pass def __str__(self):
""" x.__str__() <==> str(x) """
pass str
str源码
name_list = ['alex', 'seven', 'eric']
或
name_list = list(['alex', 'seven', 'eric'])
基本操作:
- 索引
- 切片
- 追加
- 删除
- 长度
- 切片
- 循环
- 包含
class list(object):
"""
list() -> new empty list
list(iterable) -> new list initialized from iterable's items
"""
def append(self, p_object): # real signature unknown; restored from __doc__
""" L.append(object) -- append object to end """
pass def count(self, value): # real signature unknown; restored from __doc__
""" L.count(value) -> integer -- return number of occurrences of value """
return 0 def extend(self, iterable): # real signature unknown; restored from __doc__
""" L.extend(iterable) -- extend list by appending elements from the iterable """
pass def index(self, value, start=None, stop=None): # real signature unknown; restored from __doc__
"""
L.index(value, [start, [stop]]) -> integer -- return first index of value.
Raises ValueError if the value is not present.
"""
return 0 def insert(self, index, p_object): # real signature unknown; restored from __doc__
""" L.insert(index, object) -- insert object before index """
pass def pop(self, index=None): # real signature unknown; restored from __doc__
"""
L.pop([index]) -> item -- remove and return item at index (default last).
Raises IndexError if list is empty or index is out of range.
"""
pass def remove(self, value): # real signature unknown; restored from __doc__
"""
L.remove(value) -- remove first occurrence of value.
Raises ValueError if the value is not present.
"""
pass def reverse(self): # real signature unknown; restored from __doc__
""" L.reverse() -- reverse *IN PLACE* """
pass def sort(self, cmp=None, key=None, reverse=False): # real signature unknown; restored from __doc__
"""
L.sort(cmp=None, key=None, reverse=False) -- stable sort *IN PLACE*;
cmp(x, y) -> -1, 0, 1
"""
pass def __add__(self, y): # real signature unknown; restored from __doc__
""" x.__add__(y) <==> x+y """
pass def __contains__(self, y): # real signature unknown; restored from __doc__
""" x.__contains__(y) <==> y in x """
pass def __delitem__(self, y): # real signature unknown; restored from __doc__
""" x.__delitem__(y) <==> del x[y] """
pass def __delslice__(self, i, j): # real signature unknown; restored from __doc__
"""
x.__delslice__(i, j) <==> del x[i:j] Use of negative indices is not supported.
"""
pass def __eq__(self, y): # real signature unknown; restored from __doc__
""" x.__eq__(y) <==> x==y """
pass def __getattribute__(self, name): # real signature unknown; restored from __doc__
""" x.__getattribute__('name') <==> x.name """
pass def __getitem__(self, y): # real signature unknown; restored from __doc__
""" x.__getitem__(y) <==> x[y] """
pass def __getslice__(self, i, j): # real signature unknown; restored from __doc__
"""
x.__getslice__(i, j) <==> x[i:j] Use of negative indices is not supported.
"""
pass def __ge__(self, y): # real signature unknown; restored from __doc__
""" x.__ge__(y) <==> x>=y """
pass def __gt__(self, y): # real signature unknown; restored from __doc__
""" x.__gt__(y) <==> x>y """
pass def __iadd__(self, y): # real signature unknown; restored from __doc__
""" x.__iadd__(y) <==> x+=y """
pass def __imul__(self, y): # real signature unknown; restored from __doc__
""" x.__imul__(y) <==> x*=y """
pass def __init__(self, seq=()): # known special case of list.__init__
"""
list() -> new empty list
list(iterable) -> new list initialized from iterable's items
# (copied from class doc)
"""
pass def __iter__(self): # real signature unknown; restored from __doc__
""" x.__iter__() <==> iter(x) """
pass def __len__(self): # real signature unknown; restored from __doc__
""" x.__len__() <==> len(x) """
pass def __le__(self, y): # real signature unknown; restored from __doc__
""" x.__le__(y) <==> x<=y """
pass def __lt__(self, y): # real signature unknown; restored from __doc__
""" x.__lt__(y) <==> x<y """
pass def __mul__(self, n): # real signature unknown; restored from __doc__
""" x.__mul__(n) <==> x*n """
pass @staticmethod # known case of __new__
def __new__(S, *more): # real signature unknown; restored from __doc__
""" T.__new__(S, ...) -> a new object with type S, a subtype of T """
pass def __ne__(self, y): # real signature unknown; restored from __doc__
""" x.__ne__(y) <==> x!=y """
pass def __repr__(self): # real signature unknown; restored from __doc__
""" x.__repr__() <==> repr(x) """
pass def __reversed__(self): # real signature unknown; restored from __doc__
""" L.__reversed__() -- return a reverse iterator over the list """
pass def __rmul__(self, n): # real signature unknown; restored from __doc__
""" x.__rmul__(n) <==> n*x """
pass def __setitem__(self, i, y): # real signature unknown; restored from __doc__
""" x.__setitem__(i, y) <==> x[i]=y """
pass def __setslice__(self, i, j, y): # real signature unknown; restored from __doc__
"""
x.__setslice__(i, j, y) <==> x[i:j]=y Use of negative indices is not supported.
"""
pass def __sizeof__(self): # real signature unknown; restored from __doc__
""" L.__sizeof__() -- size of L in memory, in bytes """
pass __hash__ = None list
list源码
ages = (11, 22, 33, 44, 55)
或
ages = tuple((11, 22, 33, 44, 55))
- 索引
- 切片
- 循环
- 长度
- 包含
lass tuple(object):
"""
tuple() -> empty tuple
tuple(iterable) -> tuple initialized from iterable's items If the argument is a tuple, the return value is the same object.
"""
def count(self, value): # real signature unknown; restored from __doc__
""" T.count(value) -> integer -- return number of occurrences of value """
return 0 def index(self, value, start=None, stop=None): # real signature unknown; restored from __doc__
"""
T.index(value, [start, [stop]]) -> integer -- return first index of value.
Raises ValueError if the value is not present.
"""
return 0 def __add__(self, y): # real signature unknown; restored from __doc__
""" x.__add__(y) <==> x+y """
pass def __contains__(self, y): # real signature unknown; restored from __doc__
""" x.__contains__(y) <==> y in x """
pass def __eq__(self, y): # real signature unknown; restored from __doc__
""" x.__eq__(y) <==> x==y """
pass def __getattribute__(self, name): # real signature unknown; restored from __doc__
""" x.__getattribute__('name') <==> x.name """
pass def __getitem__(self, y): # real signature unknown; restored from __doc__
""" x.__getitem__(y) <==> x[y] """
pass def __getnewargs__(self, *args, **kwargs): # real signature unknown
pass def __getslice__(self, i, j): # real signature unknown; restored from __doc__
"""
x.__getslice__(i, j) <==> x[i:j] Use of negative indices is not supported.
"""
pass def __ge__(self, y): # real signature unknown; restored from __doc__
""" x.__ge__(y) <==> x>=y """
pass def __gt__(self, y): # real signature unknown; restored from __doc__
""" x.__gt__(y) <==> x>y """
pass def __hash__(self): # real signature unknown; restored from __doc__
""" x.__hash__() <==> hash(x) """
pass def __init__(self, seq=()): # known special case of tuple.__init__
"""
tuple() -> empty tuple
tuple(iterable) -> tuple initialized from iterable's items If the argument is a tuple, the return value is the same object.
# (copied from class doc)
"""
pass def __iter__(self): # real signature unknown; restored from __doc__
""" x.__iter__() <==> iter(x) """
pass def __len__(self): # real signature unknown; restored from __doc__
""" x.__len__() <==> len(x) """
pass def __le__(self, y): # real signature unknown; restored from __doc__
""" x.__le__(y) <==> x<=y """
pass def __lt__(self, y): # real signature unknown; restored from __doc__
""" x.__lt__(y) <==> x<y """
pass def __mul__(self, n): # real signature unknown; restored from __doc__
""" x.__mul__(n) <==> x*n """
pass @staticmethod # known case of __new__
def __new__(S, *more): # real signature unknown; restored from __doc__
""" T.__new__(S, ...) -> a new object with type S, a subtype of T """
pass def __ne__(self, y): # real signature unknown; restored from __doc__
""" x.__ne__(y) <==> x!=y """
pass def __repr__(self): # real signature unknown; restored from __doc__
""" x.__repr__() <==> repr(x) """
pass def __rmul__(self, n): # real signature unknown; restored from __doc__
""" x.__rmul__(n) <==> n*x """
pass def __sizeof__(self): # real signature unknown; restored from __doc__
""" T.__sizeof__() -- size of T in memory, in bytes """
pass tuple
tuple源码
person = {"name": "mr.wu", 'age': 18}
或
person = dict({"name": "mr.wu", 'age': 18})
常用操作:
- 索引
- 新增
- 删除
- 键、值、键值对
- 循环
- 长度
class dict(object):
"""
dict() -> new empty dictionary
dict(mapping) -> new dictionary initialized from a mapping object's
(key, value) pairs
dict(iterable) -> new dictionary initialized as if via:
d = {}
for k, v in iterable:
d[k] = v
dict(**kwargs) -> new dictionary initialized with the name=value pairs
in the keyword argument list. For example: dict(one=1, two=2)
""" def clear(self): # real signature unknown; restored from __doc__
""" 清除内容 """
""" D.clear() -> None. Remove all items from D. """
pass def copy(self): # real signature unknown; restored from __doc__
""" 浅拷贝 """
""" D.copy() -> a shallow copy of D """
pass @staticmethod # known case
def fromkeys(S, v=None): # real signature unknown; restored from __doc__
"""
dict.fromkeys(S[,v]) -> New dict with keys from S and values equal to v.
v defaults to None.
"""
pass def get(self, k, d=None): # real signature unknown; restored from __doc__
""" 根据key获取值,d是默认值 """
""" D.get(k[,d]) -> D[k] if k in D, else d. d defaults to None. """
pass def has_key(self, k): # real signature unknown; restored from __doc__
""" 是否有key """
""" D.has_key(k) -> True if D has a key k, else False """
return False def items(self): # real signature unknown; restored from __doc__
""" 所有项的列表形式 """
""" D.items() -> list of D's (key, value) pairs, as 2-tuples """
return [] def iteritems(self): # real signature unknown; restored from __doc__
""" 项可迭代 """
""" D.iteritems() -> an iterator over the (key, value) items of D """
pass def iterkeys(self): # real signature unknown; restored from __doc__
""" key可迭代 """
""" D.iterkeys() -> an iterator over the keys of D """
pass def itervalues(self): # real signature unknown; restored from __doc__
""" value可迭代 """
""" D.itervalues() -> an iterator over the values of D """
pass def keys(self): # real signature unknown; restored from __doc__
""" 所有的key列表 """
""" D.keys() -> list of D's keys """
return [] def pop(self, k, d=None): # real signature unknown; restored from __doc__
""" 获取并在字典中移除 """
"""
D.pop(k[,d]) -> v, remove specified key and return the corresponding value.
If key is not found, d is returned if given, otherwise KeyError is raised
"""
pass def popitem(self): # real signature unknown; restored from __doc__
""" 获取并在字典中移除 """
"""
D.popitem() -> (k, v), remove and return some (key, value) pair as a
2-tuple; but raise KeyError if D is empty.
"""
pass def setdefault(self, k, d=None): # real signature unknown; restored from __doc__
""" 如果key不存在,则创建,如果存在,则返回已存在的值且不修改 """
""" D.setdefault(k[,d]) -> D.get(k,d), also set D[k]=d if k not in D """
pass def update(self, E=None, **F): # known special case of dict.update
""" 更新
{'name':'alex', 'age': 18000}
[('name','sbsbsb'),]
"""
"""
D.update([E, ]**F) -> None. Update D from dict/iterable E and F.
If E present and has a .keys() method, does: for k in E: D[k] = E[k]
If E present and lacks .keys() method, does: for (k, v) in E: D[k] = v
In either case, this is followed by: for k in F: D[k] = F[k]
"""
pass def values(self): # real signature unknown; restored from __doc__
""" 所有的值 """
""" D.values() -> list of D's values """
return [] def viewitems(self): # real signature unknown; restored from __doc__
""" 所有项,只是将内容保存至view对象中 """
""" D.viewitems() -> a set-like object providing a view on D's items """
pass def viewkeys(self): # real signature unknown; restored from __doc__
""" D.viewkeys() -> a set-like object providing a view on D's keys """
pass def viewvalues(self): # real signature unknown; restored from __doc__
""" D.viewvalues() -> an object providing a view on D's values """
pass def __cmp__(self, y): # real signature unknown; restored from __doc__
""" x.__cmp__(y) <==> cmp(x,y) """
pass def __contains__(self, k): # real signature unknown; restored from __doc__
""" D.__contains__(k) -> True if D has a key k, else False """
return False def __delitem__(self, y): # real signature unknown; restored from __doc__
""" x.__delitem__(y) <==> del x[y] """
pass def __eq__(self, y): # real signature unknown; restored from __doc__
""" x.__eq__(y) <==> x==y """
pass def __getattribute__(self, name): # real signature unknown; restored from __doc__
""" x.__getattribute__('name') <==> x.name """
pass def __getitem__(self, y): # real signature unknown; restored from __doc__
""" x.__getitem__(y) <==> x[y] """
pass def __ge__(self, y): # real signature unknown; restored from __doc__
""" x.__ge__(y) <==> x>=y """
pass def __gt__(self, y): # real signature unknown; restored from __doc__
""" x.__gt__(y) <==> x>y """
pass def __init__(self, seq=None, **kwargs): # known special case of dict.__init__
"""
dict() -> new empty dictionary
dict(mapping) -> new dictionary initialized from a mapping object's
(key, value) pairs
dict(iterable) -> new dictionary initialized as if via:
d = {}
for k, v in iterable:
d[k] = v
dict(**kwargs) -> new dictionary initialized with the name=value pairs
in the keyword argument list. For example: dict(one=1, two=2)
# (copied from class doc)
"""
pass def __iter__(self): # real signature unknown; restored from __doc__
""" x.__iter__() <==> iter(x) """
pass def __len__(self): # real signature unknown; restored from __doc__
""" x.__len__() <==> len(x) """
pass def __le__(self, y): # real signature unknown; restored from __doc__
""" x.__le__(y) <==> x<=y """
pass def __lt__(self, y): # real signature unknown; restored from __doc__
""" x.__lt__(y) <==> x<y """
pass @staticmethod # known case of __new__
def __new__(S, *more): # real signature unknown; restored from __doc__
""" T.__new__(S, ...) -> a new object with type S, a subtype of T """
pass def __ne__(self, y): # real signature unknown; restored from __doc__
""" x.__ne__(y) <==> x!=y """
pass def __repr__(self): # real signature unknown; restored from __doc__
""" x.__repr__() <==> repr(x) """
pass def __setitem__(self, i, y): # real signature unknown; restored from __doc__
""" x.__setitem__(i, y) <==> x[i]=y """
pass def __sizeof__(self): # real signature unknown; restored from __doc__
""" D.__sizeof__() -> size of D in memory, in bytes """
pass __hash__ = None dict
dict源码
一. 流程控制:
内容为:if...elif...else, while, for ,break, continue, pass 等语句
二. 对象类型及运算:
内容为:列表,元组,字典
(一) if语句
if语句主要由三部分组成:
1. 关键字if本身。
2. 用于判断结果条件的真假
3. 当表达式为真或者非零时执行代码块
if语法格式:
if expression1:
suite
elif expression2:
suite
.....
else:
else_suite
注: 1.elif语句为可选,根据具体情况选择条件
2. 仅用于占位符,而后填充语句时,可以使用pass
例如:
user = 'hongfei'
passwd = 'abc123' username = input("username:\n")
password = input("password:\n") if user == username and password == passed:
print("Welcome login")
else:
print("invalid username or password")
还可以使用多重条件表达式:
if not warn and (system_load >=10):
print("WARNING: losing resources!")
warn += 1
如上可以使用布尔操作符:and ,or not实现多重条件判断。
条件表达式的三元操作符:
>>> x, y = 1, 2
>>> if x < y:
... smaller = x
... else:
... smaller = y
...
>>> smaller
1
>>> smaller = x if x < y else y
>>> smaller
1
(二) while 语句
1.用于编写通用迭代结构。
2.顶端测试为真即会执行循环体,并会重复多次直到为假时执行循环后的其他语句。
语法格式:
while expression:
suite
else:
suite
注: 1. else为可选
2. 只要expressions为True,循环就会执行。
3. 当expressions结果为False时,终止循环,此时如果有else分支的话,会执行else分支。
例子1:
>>> count = 0
>>> while count < 5:
... print("逐渐递增:",count )
... count += 1
...
逐渐递增: 0
逐渐递增: 1
逐渐递增: 2
逐渐递增: 3
逐渐递增: 4
例子2:
count = 0 #定义一个起始值
while True: #为True时,循环继续往下执行
count += 1 #循环一次加1
if count > 50 and count < 60: #50到60之间由于continue退出本次循环
continue
print("你是傻逼",count) if count == 100: #count值到达100时,break终止循环
print("傻逼都被你占了!")
break
break: 跳出所处的最近一层的循环。
continue: 跳到所处的最近循环的开始处。
pass: 占位语句。
else: 只要循环正常终止,else分支即会执行。
注意:
如果由于break语句,或者返回语句,或者异常跳出循环等,else分支则不会被执行。
python中判断真和假的含义:
1. 非零数字为真,否则为假。
2. 非空对象位为真,否则为假。
3. None则始终为假。
(三)for语句:
1. for循环会访问一个可迭代对象(如序列或者迭代器)中的所有元素,并在所有条目都处理过后结束循环。
语法格式:
for expressions in iterable: #迭代器
suite
else:
suite
1. 通过序列项迭代:
>>> list = ["a","b","c"]
>>> for i in list:
... print(i)
...
a
b
c
2. 通过序列索引迭代:
>>> list = ["a","b","c"]
>>> for index in range(len(list)):
... print("index",list[index])
...
index a
index b
index c
注:
len: 返回字符串长度
range: 一次性返回连续的整数列表
range( [start,] stop[, step])
start: 可选参数,起始数,默认值为0
stop:终止数,如果range只有一个参数x, 那么range生产一个从0至x-1的整数列表
step: 可选参数,步长,即每次循环序列增长值
注意: 产生的整数序列的最大值为stop-1.
xrange: 一次产生一个数据元素,相对于range更节省空间
例子:
3. 通过项和索引迭代:
>>> list = ["a","b","c"]
>>> for i,x in enumerate(list):
... print("%d %s" % (i+1,x))
...
1 a
2 b
3 c
注: 这里用到了enumerate()函数,使用偏移索引和偏移元素时使用,返回一个生成器对象:
(四) 列表
列表也为序列式的数据类型,可以通过下标或切片操作来访问某一个或者某一块儿元素。
创建一个列表:
>>> name_list = ["张三","李四","王五"]
>>> print(name_list[0])
张三
更新一个列表:
>>> name_list = ["张三","李四","王五"]
>>> print(name_list[0])
张三
>>> name_list[2] = "王八"
>>> name_list
['张三', '李四', '王八']
常用列表参数:
insert
name_list.insert(2,"abc") #在下标为2的地方插入一个元素
append
name_list.append("def") #追加一个元素
remove
name_list.remove("minggou") #算出一个元素
pop
name_list.pop("王八") #删除制定元素
del
del name_list[2] #通过索引删除
del name_list #删除整个列表
步长 [::2] 从头到尾隔两个输出
extend
name.extend(name2)扩展进一个新的列表
name.reverse 列表倒倒序
copy #拷贝与深拷贝
import copy
name = ["alex","jack",["sf,7665, 9098"]]
name2 = name.copy()
name3 = name.copy.deepcopy(name)
注:
1.列表里可以为 字符串,数字,变量等
2.列表索引或下标从0开始
3.列表取最后元素为 -1 ,-2 表示
例子:
#找出有多少个9, 把它改成9999
#同时找出所有的34,把它删除
>>> name = ["made","zhaosi",5,99,94,9,334,56,993,34,9]
>>> name.count(9)
2
>>> for i in range(name.count(9)):
... ab = name.index(9)
... name[ab] = 999
... print(name)
...
['made', 'zhaosi', 5, 99, 94, 9, 334, 56, 993, 34, 9]
['made', 'zhaosi', 5, 99, 94, 999, 334, 56, 993, 34, 999]
例子:
用户指定一个数值范围,并计算出此范围里所有素数:
#提示用户输入整数起始值与结束值并放入元祖中
x = (int(input('请输入一个开始值(整数):')),int(input('请输入一个结束值(整数):'))) x1 = min(x) #获取最小的一个整数
x2 = max(x) #获取最大的一个整数 #print(x1,x2) for n in range(x1,x2+1): #生成x1到x2的序列
# print(n)
for i in range(2,n-1):#生成2到当前值n-1的序列
# print(i)
if n % i == 0:#判断如果余数等于0,则直接终止循环
break else:
print(n,"是素数") #不等于0 则输出次数是素数 ############
输出:
请输入一个开始值(整数):88
请输入一个结束值(整数):100
89 是素数
97 是素数
补充:
for语句与常用内置迭代函数:
enumerate(seq) #编号迭代
sorted(seq) #排序迭代
reversed(seq) #倒序迭代
zip(seq1,seq2,..) #并行迭代
###enumerate(seq):
既返回序列中的元素,又返回该元素在序列中的索引(序列编号,从0开始),for语句进行编号迭代时,使用两个循环变量分别接受编号和元素的值。
例子:
for n, i in enumerate('abcd'):
print('第%d个字符是:%s' % (n,i)) #输出: 第0个字符是:a
第1个字符是:b
第2个字符是:c
第3个字符是:d
###sorted(seq):
for遍历序列时先遍历序列中最小的值,后遍历序列中最大的值(可以排序的同类数据).
例子:
for i in sorted([2,4,56,5,12]):
print(i) #输出: 2
4
5
12
56
###reversed(seq):
特别注意,与sorted不同,不进行数值大小排序,只是从右到左进行排序。
例子:
for i in reversed([2,4,56,5,12]):
print(i) #输出: 12
5
56
4
2
###zip(seq1,seq2,...)
并行迭代遍历时同时遍历函数中给出的seq1,seq2,等序列中同一序号的元素。
例子:
for i,j,k in zip(ls1,ls2,ls3):
print('%d:%d:%d' % (i,j,k) ) #输出: 1:3:5
2:4:6
注意:
并行迭代函数中序列值的长度不一致时,只遍历到最短的序列长度。
(五) 元组:
由于元组和列表没有很大的区别,这里将不再赘述,后续会持续补充。
(六) 字典:
字典为python语言中唯一的映射类型,映射类型对象里哈希值(键,key)和指向的对象(值,value)是一对多的关系。
创建字典:
>>> dict = {'name':'张三','age':22}
字典中包含列表:dict={'李四':['','IT'],"王五":['','建筑']}
字典中包含字典:dict={'李四':{"age":"","job":"IT"},"王五":{"'age':'22','job':'dota'"}}
注意:
每个键与值用冒号隔开(:),每对用逗号,每对用逗号分割,整体放在花括号中({})。
访问字典:
>>> dict = {'name':'张三','age':22}
>>> print(dict['name'])
张三
>>> for key in dict:
... print(key,dict[key])
...
name 张三
age 22
修改字典:
>>> dict['age'] = 55
>>> print(dict)
{'name': '张三', 'age': 55}
删除字典:
del
del dict['name'] #删除字典的某个值 dict.clear() # 清空字典 del dict #删除字典
更新字典:
update()方法可以用来将一个字典的内容添加到另外一个字典中:
>>> dict1 = {'name':'张三', 'name2':'王五'}
>>> dict2={'name3':'赵六'}
>>> dict1.update(dict2)
>>> print(dict1)
{'name3': '赵六', 'name2': '王五', 'name': '张三'}
字典的内置函数和方法:(引用)
Python字典包含了以下内置函数:
1、cmp(dict1, dict2):比较两个字典元素。(python3后不可用)
2、len(dict):计算字典元素个数,即键的总数。
3、str(dict):输出字典可打印的字符串。
4、type(variable):返回输入的变量类型,如果变量是字典就返回字典类型。 Python字典包含了以下内置方法:
1、radiansdict.clear():删除字典内所有元素
2、radiansdict.copy():返回一个字典的浅复制
3、radiansdict.fromkeys():创建一个新字典,以序列seq中元素做字典的键,val为字典所有键对应的初始值
4、radiansdict.get(key, default=None):返回指定键的值,如果值不在字典中返回default值
5、radiansdict.has_key(key):如果键在字典dict里返回true,否则返回false
6、radiansdict.items():以列表返回可遍历的(键, 值) 元组数组
7、radiansdict.keys():以列表返回一个字典所有的键
8、radiansdict.setdefault(key, default=None):和get()类似, 但如果键不已经存在于字典中,将会添加键并将值设为default
9、radiansdict.update(dict2):把字典dict2的键/值对更新到dict里
10、radiansdict.values():以列表返回字典中的所有值
一.元素分类
有如下值集合 [11,22,33,44,55,66,77,88,99,90...],将所有大于 66 的值保存至字典的第一个key中,将小于 66 的值保存至第二个key的值中。
即: {'k1': 大于66的所有值, 'k2': 小于66的所有值}
四. 商城系统
功能要求:
- 要求用户输入总资产,例如:2000
- 显示商品列表,让用户根据序号选择商品,加入购物车
- 购买,如果商品总额大于总资产,提示账户余额不足,否则,购买成功。
- 附加:可充值、某商品移除购物车
goods = [
{"name": "电脑", "price": 1999},
{"name": "鼠标", "price": 10},
{"name": "游艇", "price": 20},
{"name": "美女", "price": 998},
]
python之基本数据类型的更多相关文章
- python 基础之数据类型
一.python中的数据类型之列表 1.列表 列表是我们最以后最常用的数据类型之一,通过列表可以对数据实现最方便的存储.修改等操作 二.列表常用操作 >切片>追加>插入>修改& ...
- Python学习 之 数据类型(邹琪鲜 milo)
1.Python中的数据类型:数字.字符串.列表.元组.字典 2.数字类型包括整型.长整型.浮点型.复数型 type(number):获取number的数据类型 整型(int):范围:-2,147,4 ...
- (八)python的简单数据类型和变量
什么是数据类型? 程序的本质就是驱使计算机去处理各种状态的变化,这些状态分为很多种. 例如英雄联盟游戏,一个人物角色有名字,钱,等级,装备等特性,大家第一时间会想到这么表示 名字:德玛西亚------ ...
- Python基础之数据类型
Python基础之数据类型 变量赋值 Python中的变量不需要声明,变量的赋值操作既是变量声明和定义的过程. 每个变量在内存中创建,都包括变量的标识,名称和数据这些信息. 每个变量在使用前都必须赋值 ...
- Python学习之数据类型
整数 Python可以处理任意大小的整数,在程序中的表示方法和数学上的写法一模一样,例如:1,100,-8080,0,等等. 用十六进制表示整数比较方便,十六进制用0x前缀和0-9,a-f表示,例如: ...
- python的组合数据类型及其内置方法说明
python中,数据结构是通过某种方式(例如对元素进行编号),组织在一起数据结构的集合. python常用的组合数据类型有:序列类型,集合类型和映射类型 在序列类型中,又可以分为列表和元组,字符串也属 ...
- python学习第九讲,python中的数据类型,字符串的使用与介绍
目录 python学习第九讲,python中的数据类型,字符串的使用与介绍 一丶字符串 1.字符串的定义 2.字符串的常见操作 3.字符串操作 len count index操作 4.判断空白字符,判 ...
- python学习第八讲,python中的数据类型,列表,元祖,字典,之字典使用与介绍
目录 python学习第八讲,python中的数据类型,列表,元祖,字典,之字典使用与介绍.md 一丶字典 1.字典的定义 2.字典的使用. 3.字典的常用方法. python学习第八讲,python ...
- python学习第七讲,python中的数据类型,列表,元祖,字典,之元祖使用与介绍
目录 python学习第七讲,python中的数据类型,列表,元祖,字典,之元祖使用与介绍 一丶元祖 1.元祖简介 2.元祖变量的定义 3.元祖变量的常用操作. 4.元祖的遍历 5.元祖的应用场景 p ...
- python学习第六讲,python中的数据类型,列表,元祖,字典,之列表使用与介绍
目录 python学习第六讲,python中的数据类型,列表,元祖,字典,之列表使用与介绍. 二丶列表,其它语言称为数组 1.列表的定义,以及语法 2.列表的使用,以及常用方法. 3.列表的常用操作 ...
随机推荐
- app的meta
<meta http-equiv="content-type" content="text/html; charset=UTF-8" /> < ...
- CocoaPods版本升级
和往常一样使用CocoaPods管理一个基于FMDB的项目类库 命令行执行 $ pod install [!] The 'master' repo requires CocoaPods 0.32.1 ...
- 浅谈checkpoint与内存缓存
事务日志存在检查点checkpoint,把内存中脏数据库写入磁盘,以减少故障恢复的时间,在此之前有必要提下SQL Server内存到底存放了哪些数据? SQL Server内存使用 对SQL Serv ...
- ASP.NET原理分析
ASP.NET请求与处理全过程分析 1.用户向服务器的某IP端口发送请求,此端口通过Http.sys来管理,请求报文被Http.sys接收,Http.sys在注册表中找能处理这个请求类型的应用程序,最 ...
- mybatis 添加事物后 无法获取自增主键的问题
检查代码后没发现mapper文件设置自增主键返回的问题,后来检查到,关闭事务后,执行完是可以获取返回的主键的, 我在mysql的客户端里关闭自动提交,发现使用select last_insert_id ...
- MySQL源码分析以及目录结构
原文地址:MySQL源码分析以及目录结构作者:jacky民工 主要模块及数据流经过多年的发展,mysql的主要模块已经稳定,基本不会有大的修改.本文将对MySQL的整体架构及重要目录进行讲述. 源码结 ...
- CSS选择器的特殊性和LOVE HA
在CSS中当几个相同的选择器对同一个元素有不同的规则时,该怎么应用这些规则呢? 答案就是:CSS特殊性(CSS specificity) 选择器特殊性有选择器本身组成,特殊性由4个数值表述:0, 0, ...
- oracle 行列转换的运用
问题: 员工表: A(E_ID,NAME,) 部门表: B(D_ID,D_NAME) 员工与部门关系:C(ID,E_ID,D_ID) SELECT A.E_ID,A.NAME ,B.D_NAME ...
- 流畅web动画的十个法则
from me: web动画能够带来一个非常酷炫的效果,能够让页面有一个更好的用户体验.对于良好的动画性能没有高招,除了将大量的时间放在测试和优化,当然最重要的还是要易于维护. 流畅web动画的十大法 ...
- PHP一句话过狗、卫士、D盾等免杀思路!
原文转载于:http://www.legendsec.org/1701.html 觉得写得还算蛮科普的. 00x1.关键字拆分. 比如assert,可以写成 ‘a’.’ss’.’e’. ...